AI Engineer - Remote

Design, develop, and deploy AI solutions leveraging LLMs, Agentic AI, and Generative AI workflows in production environments.

Build and optimize AI/ML pipelines, integrating Large Language Models (LLMs) into scalable enterprise applications.

Develop AI-driven trust, identity, and verification solutions, including KYC/KYB, fraud detection, and risk scoring systems.

Collaborate with international clients and cross-functional teams to gather requirements, propose AI solutions, and deliver production-ready systems.

Research, evaluate, and adopt emerging AI technologies and frameworks to continuously improve products and engineering practices.

3+ years of experience in AI/ML engineering, with at least 2 years in production-grade systems

Proficiency in Python and familiarity with AI/ML frameworks (e.g., LangChain, LangGraph, AutoGen, or equivalent)

Hands-on experience building agentic AI systems, LLM-based pipelines, or multi-agent orchestration frameworks

Fluent English communication skills are required, candidate must be able to work directly with international stakeholders without requiring translation support

Strong understanding of trust, identity, and verification concepts, experience with KYC/KYB, fraud detection, or risk scoring systems is highly preferred

Nice to have:

Experience with credential systems, digital signatures, or verifiable credentials (W3C VC, DIDs, JWTs) is a strong plus

Salary:

+ 3-5yoe: Up to 31M

+ 5yoe+: Up to 37M

Receive 100% salary from the onboarding date.

Participate in company activities: Teambuilding, travel, vacation and other activities.

Work with large and advanced systems, have the opportunity to develop comprehensive technology skills with complex problems, requiring high accuracy.